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Control and Filtering of Fuzzy Systems S. Dong & Z. Wu & P. Shi paperback 2020

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Objectstaat
Goed
Een boek dat is gelezen, maar zich in goede staat bevindt. De kaft is zeer minimaal beschadigd (er zijn bijvoorbeeld slijtplekken), maar er zijn geen deukjes of scheuren. De harde kaft heeft mogelijk geen stofomslag meer. De boekband vertoont minimale slijtage. De meeste bladzijden zijn onbeschadigd. Er zijn weinig vouwen en scheuren en er is vrijwel geen tekst met potlood onderstreept of met een accentueerstift gemarkeerd. Er is niet in de kantlijn geschreven. Er ontbreken geen bladzijden. Bekijk de aanbieding van de verkoper voor de volledige details en een beschrijving van gebreken. Alle staatdefinities bekijkenwordt in nieuw venster of op nieuw tabblad geopend
Opmerkingen van verkoper
“This paperback has wear to the corners and edges and no marks to the text.”
Subject Area
Computers, Technology & Engineering, Mathematics
Personalized
No
Educational Level
Adult & Further Education
Level
Advanced
Features
equations
Country/Region of Manufacture
United States
Subject
Engineering (General), Intelligence (Ai) & Semantics, General, Electrical
ISBN
9783030355685
Publication Name
Control and Filtering of Fuzzy Systems with Switched Parameters
Item Length
9.3 in
Publisher
Springer International Publishing A&G
Publication Year
2020
Series
Studies in Systems, Decision and Control Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Peng Shi, Shanling Dong, Zheng-Guang Wu
Item Width
6.1 in
Item Weight
16 Oz
Number of Pages
Xv, 212 Pages

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Product Information

This book presents recent advances in control and filter design for Takagi-Sugeno (T-S) fuzzy systems with switched parameters. Thanks to its powerful ability in transforming complicated nonlinear systems into a set of linear subsystems, the T-S fuzzy model has received considerable attention from those the field of control science and engineering. Typical applications of T-S fuzzy systems include communication networks, and mechanical and power electronics systems. Practical systems often experience abrupt variations in their parameters or structures due to outside disturbances or component failures, and random switching mechanisms have been used to model these stochastic changes, such as the Markov jump principle. There are three general types of controller/filter for fuzzy Markov jump systems: mode-independent, mode-dependent and asynchronous. Mode-independence does not focus on whether modes are accessible and ignores partially useful modeinformation, which results in some conservatism. The mode-dependent design approach relies on timely, complete and correct information regarding the mode of the studied plant. Factors like component failures and data dropouts often make it difficult to obtain exact mode messages, which further make the mode-dependent controllers/filters less useful. Recently, to overcome these issues, researchers have focused on asynchronous techniques. Asynchronous modes are accessed by observing the original systems based on certain probabilities. The book investigates the problems associated with controller/filter design for all three types. It also considers various networked constraints, such as data dropouts and time delays, and analyzes the performances of the systems based on Lyapunov function and matrix inequality techniques, including the stochastic stability, dissipativity, and $H_\infty$. The book not only shows how these approaches solve the control and filtering problems effectively, but also offers potential meaningful research directions and ideas. Covering a variety of fields, including continuous-time and discrete-time Markov processes, fuzzy systems, robust control, and filter design problems, the book is primarily intended for researchers in system and control theory, and is also a valuable reference resource for graduate and undergraduate students. Further, it provides cases of fuzzy control problems that are of interest to scientists, engineers and researchers in the field of intelligent control. Lastly it is useful for advanced courses focusing on fuzzy modeling, analysis, and control.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3030355683
ISBN-13
9783030355685
eBay Product ID (ePID)
22050405966

Product Key Features

Author
Peng Shi, Shanling Dong, Zheng-Guang Wu
Publication Name
Control and Filtering of Fuzzy Systems with Switched Parameters
Format
Trade Paperback
Language
English
Subject
Engineering (General), Intelligence (Ai) & Semantics, General, Electrical
Publication Year
2020
Series
Studies in Systems, Decision and Control Ser.
Type
Textbook
Subject Area
Computers, Technology & Engineering, Mathematics
Number of Pages
Xv, 212 Pages

Dimensions

Item Length
9.3 in
Item Width
6.1 in
Item Weight
16 Oz

Additional Product Features

Series Volume Number
268
Number of Volumes
1 Vol.
Lc Classification Number
Tj212-225
Reviews
"The book is a timely treatise of fuzzy models with switched parameters offering a useful contribution to the body of knowledge on advanced control." (Witold Pedrycz, zbMATH 1452.93001, 2021)
Table of Content
Introduction.- Reliable Control of Fuzzy Systems with Quantization and Switched Actuator Failures.- Fuzzy-Model-Based Non-Fragile GCC of Fuzzy MJSs.- Quantized Control of Fuzzy Hidden MJSs.- Asynchronous Control of Fuzzy MJSs Subject to Strict Dissipativity.- Extended Dissipativity-Based Control for Fuzzy Switched Systems with Intermittent Measurements.- Dissipativity-Based Asynchronous Fuzzy Sliding Mode Control for Fuzzy MJSs.- Filtering for Discrete-Time Switched Fuzzy Systems with Quantization.- Reliable Filter Design of Fuzzy Switched Systems with Imprecise Modes.- Reliable Filtering of Nonlinear Markovian Jump Systems: the Continuous-Time Case.- HMM-Based Asynchronous Filter Design of Continuous-Time Fuzzy MJSs.- Networked Fault Detection for Fuzzy MJSs.- Index.
Copyright Date
2020
Dewey Decimal
003.7
Dewey Edition
23
Illustrated
Yes

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